DeepSeek V3.2
PulseAugur coverage of DeepSeek V3.2 — every cluster mentioning DeepSeek V3.2 across labs, papers, and developer communities, ranked by signal.
2 天有情绪数据
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LLMs struggle with geopolitical coercion in Greenland sovereignty simulation
Researchers have developed a novel AI stress test using the Greenland sovereignty dispute to evaluate geopolitical decision-making in large language models. The study simulated thousands of games where eight frontier LL…
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Zyphra's ZAYA1-8B model matches larger rivals with 700M active parameters
Zyphra has released ZAYA1-8B, a reasoning-focused mixture-of-experts model with 700 million active parameters. The model was trained from scratch on an AMD compute platform and utilizes a novel four-stage reinforcement …
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LLMs show genre bias, misclassifying entertainment news as fake
A new research paper investigates whether large language models exhibit skepticism towards entertainment news, finding that some frontier models are more prone to misclassifying legitimate entertainment articles as fake…
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DeepSeek-V4 Pro model with 1.6T parameters now on Together AI
DeepSeek-V4 Pro, a large Mixture-of-Experts model with 1.6 trillion parameters, is now accessible on the Together AI platform. This model is designed for long-context reasoning, supporting up to a 512K-token context win…
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Frontier LLMs like GPT-5.4 and Claude Opus 4.7 show significant verbal tics
A new paper analyzes the prevalence of verbal tics, such as repetitive phrases and sycophantic openers, in eight leading large language models. Researchers developed a Verbal Tic Index (VTI) to quantify these tics, find…
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DeepSeek V4 models offer high performance with reduced inference costs and NPU support
DeepSeek has released its V4 family of open-weight large language models, featuring a 1.6 trillion parameter model and a smaller 284 billion parameter Flash MoE model. These new models claim to rival top proprietary LLM…